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Constructing the topology of complex wire networks using reflectometry response and Newton-based optimization algorithms

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  • معلومة اضافية
    • Contributors:
      Laboratoire Fiabilité et Intégration de Capteurs (CEA, LIST) (LFIC (CEA, LIST)); Département Métrologie Instrumentation & Information (CEA, LIST) (DM2I (CEA, LIST)); Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)); Direction de Recherche Technologique (CEA) (DRT (CEA)); Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)); Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)); Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay; Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI); Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
    • بيانات النشر:
      HAL CCSD
      Institute of Electrical and Electronics Engineers Inc.
    • الموضوع:
      2017
    • الموضوع:
    • نبذة مختصرة :
      Conference of 53rd IEEE AUTOTESTCON Conference, AUTOTESTCON 2017 ; Conference Date: 11 September 2017 Through 14 September 2017; Conference Code:131794 ; International audience ; Based on Time-Domain Reflectometry (TDR) technique, a new method which could reconstruct the topology of an unknown or partially unknown network is proposed in this paper. This approach, the TDR-NEW approach, allows the network to be retrieved by drawing its interconnections and estimating the lengths of branches. Two complementary steps are addressed. In the first step the direct problem is modeled using RLCG circuit parameters. Then the Finite Difference Time Domain (FDTD) method conjugated with the ABCD matrix method is used to model the signal propagation in a branched network. This model, the FDTD-ABCD, provides a simple and accurate method to simulate Time Domain Reflectometry responses. In the second step the newton-based optimization method is combined with the wire propagation model to solve the inverse problem and to deduce physical informations about the network from the reflectometry response. Numerical and experimental results pointing out the performance of the TDR-NEW method in reconstructing the topology of branched networks are reported.
    • Relation:
      cea-01837006; https://cea.hal.science/cea-01837006; https://cea.hal.science/cea-01837006/document; https://cea.hal.science/cea-01837006/file/article_MoussaKafal_Autotestcon2017.pdf
    • الرقم المعرف:
      10.1109/AUTEST.2017.8080495
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.782513BB